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2018 , Vol. 62 >Issue 14: 62 - 71

DOI: https://doi.org/10.13266/j.issn.0252-3116.2018.14.008

Intelligent Identification of Field Development Trajectory Based on Topic Evolution: A Case Study of Artificial Intelligence

  • Zhou Yuan ,
  • Zhang Chao ,
  • Tang Jie ,
  • Liu Yufei ,
  • Zhang Yutao
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  • 1. School of Public Policy and Management, Tsinghua University, Beijing 100084;
    2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074;
    3. Department of Computer Science and Technology, Tsinghua University, Beijing 100084;
    4. The CAE Center for Strategic Studies, Chinese Academy of Engineering, Beijing 100088

Received date: 2017-11-21

  Revised date: 2018-03-14

  Online published: 2018-07-20

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Abstract

[Purpose/significance] Identifying the trajectory of development is of great importance to scientific and technological innovations. However, existing methods such as expert interviews and citation analysis cannot meet the current situation of the explosive growth of literature. In response to this problem, this paper proposes a new identification method of filed development trajectory. [Method/process] This method identifies the research topics and related scholars by using Kmeans ++ and spectral clustering algorithms with the keyword-scholar matrix, calculates the correlation between different topics, and finally visualizes the trajectory of developmen. [Result/conclusion] Through the empirical analysis of the field of artificial intelligence, the results show that the method can effectively reflect the evolution of the topic of field research, help researchers quickly locate popular research topics and focuses, and enrich the research methods related to the trajectory of field development.

Key words： field development trajectory; topic evolution; KMeans++; spectral clustering; artificial intelligence

Cite this article

Zhou Yuan , Zhang Chao , Tang Jie , Liu Yufei , Zhang Yutao . Intelligent Identification of Field Development Trajectory Based on Topic Evolution: A Case Study of Artificial Intelligence[J]. Library and Information Service, 2018 , 62(14) : 62 -71 . DOI: 10.13266/j.issn.0252-3116.2018.14.008

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